Performance ranking of units considering ideal and anti-ideal DMU with common weights

Extended secondary goal models for weights selection in DEA cross-efficiency evaluation

“…Cook, Roll, and Kazakov (1990) and Roll, Cook, and Golany (1991) firstly proposed to use common weights for efficiency evaluation in DEA in the application background of performance evaluation and ranking of highway maintenance units. Further work on DEA common-weight evaluation can be seen in Kao and Hung (2005); Zohrehbandian et al (2010);and Sun et al (2013). There are still other methods for enhancing the discriminative power of DEA, such as the benchmarking ranking techniques (Sueyoshi, 1999;Lu & Lo, 2009;Sinuany-Stern, Mehrez, & Barboy, 1994), the multi-criteria decision-making methodologies (Li & Reeves, 1999;Strassert and Prato, 2002;Wang and Jiang, 2012), and the context-dependent DEA method (Seiford & Zhu, 2003;Chen, Morita, & Zhu, 2005).…”

A hybrid goal programming and dynamic data envelopment analysis framework for sustainable supplier evaluation

“…Various DEA models have been proposed to rank the DMUs during the past three decades. The concept of ''ideal DMU'' has been used to rank the DMUs in several DEA methods [22,24,30,48,[52][53][54]. Yousefi et al [61] developed an ideal DMU using the virtual network DEA approach for ranking both inefficient and efficient DMUs.…”

Measuring energy usage and sustainability development in Asian nations by DEA intermediate approach

“…For example, Ulah et al (2016) investigated energy or productive efficiency in Australia, New Zealand, China, Taiwan, South Korea, Philippines, India, Myanmar, Japan and Pakistan. Sun et al (2013) extended the radial model for performance evaluation and ranking on Asian lead frame firms and flexible manufacturing systems.…”